Titlebook: Secret Ingredients; Race, Gender, and Cl Sherrie A. Inness Book 2006 Sherrie A. Inness 2006 gender.revolution.social change.women

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书目名称Secret Ingredients影响因子(影响力)




书目名称Secret Ingredients影响因子(影响力)学科排名




书目名称Secret Ingredients网络公开度




书目名称Secret Ingredients网络公开度学科排名




书目名称Secret Ingredients被引频次




书目名称Secret Ingredients被引频次学科排名




书目名称Secret Ingredients年度引用




书目名称Secret Ingredients年度引用学科排名




书目名称Secret Ingredients读者反馈




书目名称Secret Ingredients读者反馈学科排名

制度

INERT

Sherrie A. Innessted to work-related musculoskeletal disorders (WMSD). Predicting WMSD individual risk level provides critical decision support information to occupational safety and health (OSH) practitioners in the ergonomic analysis. The KBEAS is based on the analytic hierarchy process (AHP) methodology. The curr

infatuation

Alpha-Cells

Sherrie A. Inness products such as shipbuilding and the process requires manual handling. Currently, there is a significant number of absenteeism that due to low back pain, indicating that workers in manual composite manufacturing have problems related to musculoskeletal disorder (MSD). The objective of this paper i

使成波状

Sherrie A. Innessanufacturing system have been addressed from different perspectives, for example, smart optimization of cutting parameters, smart process planning, smart workshop and scheduling, and smart integration of process planning and scheduling. .In the process of writing, this book highlights the combinatio

玛瑙

埋葬

Palliation

Sherrie A. Inness sector since it touches millions of people every day. Some of the safety concerns include, aircraft accident, hijackings, aircraft failures, etc. This safety issues makes the aviation sector, a high-risk sector and there is a need for critical, accurate, and precision in every aspect. In this study

Flagging

Sherrie A. Innesse power sector and growing environmental concerns increase the need for underground cable-based electric power systems. Despite the fact that there are numerous protection measures for high-voltage cable systems, this paper focuses on voltage monitoring and detection of faults in Medium voltage (MV)